Qualitative Answering Surveys And Soft Computing
In this work, we reflect on some questions about the measurement problem in economics and, especially, their relationship with the scientific method. Statistical sources frequently used by economists contain qualitative information obtained from verbal expressions of individuals by means of surveys, and we discuss the reasons why it would be more adequately analyzed with soft methods than with traditional ones. Some comments on the most commonly applied techniques in the analysis of these types of data with verbal answers are followed by our proposal to compute with words. In our view, an alternative use of the well known Income Evaluation Question seems especially suggestive for a soft computing approach, since it would facilitate an empirical estimation of the corresponding linguistic variable adjectives. A new treatment of the information contained in such surveys would avoid some questions incorporated in the so called Leyden approach that do not fit to the actual world.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Volume (Year): XII (2007)
Issue (Month): 1 (May)
|Contact details of provider:|| Web page: http://www.sigef.net|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Matsatsinis, M. & Kosmidou, K. & Doumpos, M. & Zopounidis, C., 2003. "A Fuzzy Decision Aiding Method for the Assessment of Corporate Bankruptcy," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 13-23, May.
- Bruno S. Frey & Alois Stutzer, 2000.
German Economic Review,
Verein für Socialpolitik, vol. 1(2), pages 145-167, 05.
- Easterlin, Richard A., 1995. "Will raising the incomes of all increase the happiness of all?," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 35-47, June.
- Von Furstenberg, George M. & Daniels, Joseph P., 1991. "Policy undertakings by the seven "summit" countries: ascertaining the degree of compliance," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 35(1), pages 267-307, January.
- Freeman, Richard B, 1978.
"Job Satisfaction as an Economic Variable,"
American Economic Review,
American Economic Association, vol. 68(2), pages 135-41, May.
- Van Praag, Bernard, 1971.
"The welfare function of income in Belgium: An empirical investigation,"
European Economic Review,
Elsevier, vol. 2(3), pages 337-369.
- Van Praag, Bernard, 1971. "The welfare function of income in Belgium: An empirical investigation," European Economic Review, Elsevier, vol. 11(3), pages 337-369.
- G. Cornelis van Kooten & Emina Krcmar & Erwin H. Bulte, 2001. "Preference Uncertainty in Non-Market Valuation: A Fuzzy Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 487-500.
- Mina Baliamoune, 2000. "Economics of Summitry: An Empirical Assessment of the Economic Effects of Summits," Empirica, Springer, vol. 27(3), pages 295-319, September.
- Mozaffar Qizilbash, 2002. "A note on the measurement of poverty and vulnerability in the South African context," Journal of International Development, John Wiley & Sons, Ltd., vol. 14(6), pages 757-772.
- Bárbara Díaz & Antonio Morillas, 2005. "Minería de datos y lógica difusa.Una aplicación al estudio de la rentabilidad económica de las empresas agroalimentarias en Andalucía," GE, Growth, Math methods 0512003, EconWPA.
- Jorge de Andrés Sánchez & Antonio Terceño Gómez, 2003. "Applications of Fuzzy Regression in Actuarial Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(4), pages 665-699.
- Chad Stroomer & David E.A. Giles, 2003. "Income Convergence and trade Openness: Fuzzy Clustering and Time Series Evidence," Econometrics Working Papers 0304, Department of Economics, University of Victoria.
- Bruno S. Frey & Alois Stutzer, .
"What can Economists Learn from Happiness Research?,"
IEW - Working Papers
080, Institute for Empirical Research in Economics - University of Zurich.
- Bruno S. Frey & Alois Stutzer, 2002. "What Can Economists Learn from Happiness Research?," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 402-435, June.
- Bruno S. Frey & Alois Stutzer, 2001. "What Can Economists Learn from Happiness Research?," CESifo Working Paper Series 503, CESifo Group Munich.
- David E. A. Giles & Robert Draeseke, 2001. "Econometric Modelling based on Pattern recognition via the Fuzzy c-Means Clustering Algorithm," Econometrics Working Papers 0101, Department of Economics, University of Victoria.
- Bernard M.S. van Praag & Paul Frijters, 1999. "The measurement of welfare and well-being; the Leyden approach," School of Economics and Finance Discussion Papers and Working Papers Series 071a, School of Economics and Finance, Queensland University of Technology.
When requesting a correction, please mention this item's handle: RePEc:fzy:fuzeco:v:xii:y:2007:i:1:p:3-19. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Aurelio Fernandez)
If references are entirely missing, you can add them using this form.